Triple
T16340985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Jose, Negros Oriental |
E396802
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Naiba
Naiba is a rural barangay (village-level administrative division) within the municipality of San Jose in Negros Oriental, Philippines.
|
E1206636
|
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: Naiba | Statement: [San Jose, Negros Oriental, hasBarangay, Naiba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Naiba Context triple: [San Jose, Negros Oriental, hasBarangay, Naiba]
-
A.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
B.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
C.
Niuas
Niuas is a remote northern island group of Tonga known for its small, sparsely populated volcanic islands and traditional Polynesian culture.
-
D.
Nyapari
Nyapari is a small remote Aboriginal community located within the Anangu Pitjantjatjara Yankunytjatjara (APY) Lands in north-western South Australia.
-
E.
Itabi
Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
- 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: Naiba Triple: [San Jose, Negros Oriental, hasBarangay, Naiba]
Generated description
Naiba is a rural barangay (village-level administrative division) within the municipality of San Jose in Negros Oriental, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Naiba Target entity description: Naiba is a rural barangay (village-level administrative division) within the municipality of San Jose in Negros Oriental, Philippines.
-
A.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
B.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
C.
Niuas
Niuas is a remote northern island group of Tonga known for its small, sparsely populated volcanic islands and traditional Polynesian culture.
-
D.
Nyapari
Nyapari is a small remote Aboriginal community located within the Anangu Pitjantjatjara Yankunytjatjara (APY) Lands in north-western South Australia.
-
E.
Itabi
Itabi is a small municipality in the Brazilian state of Sergipe, known for its rural character and location in the semi-arid interior region.
- 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_69d87f26864c819088365ca381a003c2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2da09dcf48190b6fdd14b1812c56a |
completed | April 18, 2026, 1:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261cf0648190b4dd5ff79de7e315 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0026c9b5c481908f60d2ebfb3f71d7 |
completed | May 10, 2026, 6:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00273dd8fc8190b84b8a96442781ee |
completed | May 10, 2026, 6:35 a.m. |
Created at: April 10, 2026, 5:07 a.m.