Triple
T12754219
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Narowal |
E304814
|
entity |
| Predicate | hasNearbyTown |
P3883
|
FINISHED |
| Object |
Shakargarh
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
|
E1019961
|
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: Shakargarh | Statement: [Narowal, hasNearbyTown, Shakargarh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shakargarh Context triple: [Narowal, hasNearbyTown, Shakargarh]
-
A.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
-
B.
Kharbanda
Kharbanda is the birth name of Öljeitü, the Ilkhanid ruler of Persia in the early 14th century.
-
C.
Kishtwari
Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
-
D.
Arjan Garh
Arjan Garh is an elevated station on the Delhi Metro network serving the southern outskirts of Delhi near the Haryana border.
-
E.
Bhit Shah
Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
- 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: Shakargarh Triple: [Narowal, hasNearbyTown, Shakargarh]
Generated description
Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Shakargarh Target entity description: Shakargarh is a town in Punjab, Pakistan, known for its agricultural surroundings and proximity to the border with India.
-
A.
Kheragarh
Kheragarh is a town in the culturally significant Braj region of northern India, known for its historical and religious associations with the broader Mathura–Agra area.
-
B.
Kharbanda
Kharbanda is the birth name of Öljeitü, the Ilkhanid ruler of Persia in the early 14th century.
-
C.
Kishtwari
Kishtwari is an Indo-Aryan language spoken primarily in the Kishtwar region of Jammu and Kashmir, India.
-
D.
Arjan Garh
Arjan Garh is an elevated station on the Delhi Metro network serving the southern outskirts of Delhi near the Haryana border.
-
E.
Bhit Shah
Bhit Shah is a town in Sindh, Pakistan, renowned as a spiritual and cultural center built around the shrine of the revered Sufi poet Shah Abdul Latif Bhittai.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5eba3b0819089da65be31f3d0e6 |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6da15c2cc8190897e00a64e20e6b9 |
completed | May 3, 2026, 5:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6daa21ff88190af9b7ffb7cbb2b21 |
completed | May 3, 2026, 5:18 a.m. |
Created at: April 9, 2026, 5:27 p.m.