Triple
T10310974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orakzai Agency |
E241887
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Kalaya
Kalaya is the main administrative town and commercial center of the Orakzai District in Pakistan’s Khyber Pakhtunkhwa province.
|
E855682
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kalaya | Statement: [Orakzai Agency, capital, Kalaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kalaya Context triple: [Orakzai Agency, capital, Kalaya]
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Minalin
Minalin is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and traditional cultural festivities.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
E.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kalaya Triple: [Orakzai Agency, capital, Kalaya]
Generated description
Kalaya is the main administrative town and commercial center of the Orakzai District in Pakistan’s Khyber Pakhtunkhwa province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kalaya Target entity description: Kalaya is the main administrative town and commercial center of the Orakzai District in Pakistan’s Khyber Pakhtunkhwa province.
-
A.
Lalakay
Lalakay is a barangay (village-level administrative division) within the municipality of Los Baños in the province of Laguna, Philippines.
-
B.
Minalin
Minalin is a municipality in the province of Pampanga in the Philippines, known for its agricultural economy and traditional cultural festivities.
-
C.
Kalamansig
Kalamansig is a coastal municipality in the province of Sultan Kudarat in the Philippines, known for its fishing industry and diverse indigenous communities.
-
D.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
E.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d32ac6c08190b23eb042b3ec284a |
completed | April 7, 2026, 9:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71d78ece88190885768c979b038df |
completed | April 9, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69d73186831481909555e2205d8783a7 |
completed | April 9, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d732bfc76c819089287477b54a7b77 |
completed | April 9, 2026, 5:01 a.m. |
Created at: April 6, 2026, 11:47 a.m.