Triple
T22934797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banaue |
E569551
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Tam-an
Tam-an is a rural barangay in the mountainous municipality of Banaue in Ifugao, Philippines, known for its proximity to the famed rice terraces.
|
E1562415
|
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: Tam-an | Statement: [Banaue, hasBarangay, Tam-an]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tam-an Context triple: [Banaue, hasBarangay, Tam-an]
-
A.
Tamana
Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
-
B.
Tamana
Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
-
C.
Tanjay
Tanjay is a component city in the province of Negros Oriental in the Philippines, known for its agricultural economy and cultural festivals.
-
D.
Taan
Taan is the Indigenous name for Prince of Wales Island, reflecting the traditional language and cultural heritage of its Native inhabitants.
-
E.
Anahawan
Anahawan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and agricultural economy.
- 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: Tam-an Triple: [Banaue, hasBarangay, Tam-an]
Generated description
Tam-an is a rural barangay in the mountainous municipality of Banaue in Ifugao, Philippines, known for its proximity to the famed rice terraces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tam-an Target entity description: Tam-an is a rural barangay in the mountainous municipality of Banaue in Ifugao, Philippines, known for its proximity to the famed rice terraces.
-
A.
Tamana
Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
-
B.
Tamana
Tamana is a city in Japan known for its hot spring resorts and agricultural products, located in the northern part of Kumamoto Prefecture on Kyushu Island.
-
C.
Tanjay
Tanjay is a component city in the province of Negros Oriental in the Philippines, known for its agricultural economy and cultural festivals.
-
D.
Taan
Taan is the Indigenous name for Prince of Wales Island, reflecting the traditional language and cultural heritage of its Native inhabitants.
-
E.
Anahawan
Anahawan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and agricultural economy.
- 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_69e24590862c8190858f180ad302adab |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18134484c8190b7311606c17d058d |
completed | April 29, 2026, 3:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0bc24ea8bc8190bb7cb6e9475d6641 |
completed | May 19, 2026, 1:52 a.m. |
| NEDg | Description generation | batch_6a0bc3dea31c8190ab517e43c9061eec |
completed | May 19, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0bc46fd3d0819094a532a8d6a0b9b2 |
completed | May 19, 2026, 2:01 a.m. |
Created at: April 17, 2026, 3:44 p.m.