Triple
T13057584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Leyte |
E327617
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
La Paz, Leyte
La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
|
E1067149
|
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: La Paz, Leyte | Statement: [Northern Leyte, containsCity, La Paz, Leyte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Paz, Leyte Context triple: [Northern Leyte, containsCity, La Paz, Leyte]
-
A.
San Miguel, Leyte
San Miguel, Leyte is a municipality in the province of Leyte in the Philippines, situated in the northern part of the island.
-
B.
Palompon, Leyte
Palompon, Leyte is a coastal municipality in the province of Leyte in the Philippines, known as the gateway to the popular sandbar destination Kalanggaman Island.
-
C.
Jaro, Leyte
Jaro is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
D.
San Miguel, Iloilo
San Miguel, Iloilo is a landlocked municipality in the province of Iloilo in the Philippines, known for its agricultural economy and proximity to Iloilo City.
-
E.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
- 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: La Paz, Leyte Triple: [Northern Leyte, containsCity, La Paz, Leyte]
Generated description
La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: La Paz, Leyte Target entity description: La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
A.
San Miguel, Leyte
San Miguel, Leyte is a municipality in the province of Leyte in the Philippines, situated in the northern part of the island.
-
B.
Palompon, Leyte
Palompon, Leyte is a coastal municipality in the province of Leyte in the Philippines, known as the gateway to the popular sandbar destination Kalanggaman Island.
-
C.
Jaro, Leyte
Jaro is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
D.
San Miguel, Iloilo
San Miguel, Iloilo is a landlocked municipality in the province of Iloilo in the Philippines, known for its agricultural economy and proximity to Iloilo City.
-
E.
Calbayog
Calbayog is a coastal city in the province of Samar in the Philippines, known as a regional hub for trade, culture, and transportation in Eastern Visayas.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980bd305c8190bcf191b2d35ec8de |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c6f404888190b7bb47bff1a7c1e1 |
completed | May 3, 2026, 10:06 p.m. |
| NEDg | Description generation | batch_69f7c7b9e4888190822501d439df142a |
completed | May 3, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7c83e31d4819094209406fc99456a |
completed | May 3, 2026, 10:12 p.m. |
Created at: April 9, 2026, 8:58 p.m.