Triple
T11109373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daanbantayan |
E262714
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Pajo
Pajo is a barangay (village-level administrative division) located in the municipality of Daanbantayan in Cebu, Philippines.
|
E906343
|
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: Pajo | Statement: [Daanbantayan, hasBarangay, Pajo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pajo Context triple: [Daanbantayan, hasBarangay, Pajo]
-
A.
Liloan
Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
-
B.
Liloan
Liloan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and scenic seaside landscapes.
-
C.
Kafoa
Kafoa is a lesser-known Papuan language spoken on the Alor archipelago in eastern Indonesia, belonging to the Alor–Pantar language family.
-
D.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
E.
Tafuna
Tafuna is a major suburban and commercial area on the island of Tutuila in American Samoa, known for its population density and proximity to the territory’s main airport.
- 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: Pajo Triple: [Daanbantayan, hasBarangay, Pajo]
Generated description
Pajo is a barangay (village-level administrative division) located in the municipality of Daanbantayan in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pajo Target entity description: Pajo is a barangay (village-level administrative division) located in the municipality of Daanbantayan in Cebu, Philippines.
-
A.
Liloan
Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
-
B.
Liloan
Liloan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its fishing communities and scenic seaside landscapes.
-
C.
Kafoa
Kafoa is a lesser-known Papuan language spoken on the Alor archipelago in eastern Indonesia, belonging to the Alor–Pantar language family.
-
D.
Pa'a
Pa'a is a Chadic language spoken in northern Nigeria, closely related to and geographically near the Warji language.
-
E.
Tafuna
Tafuna is a major suburban and commercial area on the island of Tutuila in American Samoa, known for its population density and proximity to the territory’s main airport.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6896c0819082685b5b4600d158 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d72f8f48190a7414119a6be9d5e |
completed | April 19, 2026, 1:18 a.m. |
| NEDg | Description generation | batch_69e4374700b881908ebb185ae020487b |
completed | April 19, 2026, 2 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4399385c08190852c3cbd730a1f11 |
completed | April 19, 2026, 2:10 a.m. |
Created at: April 8, 2026, 9:27 p.m.