Triple
T13057589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Leyte |
E327617
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Tabango
Tabango is a coastal municipality in the province of Leyte in the Philippines, known for its agricultural economy and scenic seaside landscapes.
|
E1018122
|
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: Tabango | Statement: [Northern Leyte, containsCity, Tabango]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabango Context triple: [Northern Leyte, containsCity, Tabango]
-
A.
Tapalpa
Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
-
B.
Chacala
Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
-
C.
Tepezalá
Tepezalá is a small municipality and town in the northern part of the Mexican state of Aguascalientes, known for its rural character and mining history.
-
D.
Tatengue
Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
-
E.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
- 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: Tabango Triple: [Northern Leyte, containsCity, Tabango]
Generated description
Tabango is a coastal municipality in the province of Leyte in the Philippines, known for its agricultural economy and scenic seaside landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tabango Target entity description: Tabango is a coastal municipality in the province of Leyte in the Philippines, known for its agricultural economy and scenic seaside landscapes.
-
A.
Tapalpa
Tapalpa is a picturesque mountain town in the Mexican state of Jalisco, known for its colonial architecture, pine forests, and outdoor recreation.
-
B.
Chacala
Chacala is a small coastal village and beach destination on Mexico’s Pacific coast in the state of Nayarit, known for its tranquil atmosphere, surfing, and ecotourism.
-
C.
Tepezalá
Tepezalá is a small municipality and town in the northern part of the Mexican state of Aguascalientes, known for its rural character and mining history.
-
D.
Tatengue
Tatengue is the popular nickname of Club Atlético Unión, a traditional football club from Santa Fe, Argentina.
-
E.
Cajeme
Cajeme is a major municipality and agricultural and industrial center in the southern part of the Mexican state of Sonora, best known for its main city Ciudad Obregón.
- 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_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69f6cd0e88e08190a07468336bb624f0 |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce2c7630819091433543dfdf8402 |
completed | May 3, 2026, 4:25 a.m. |
Created at: April 9, 2026, 8:58 p.m.