Triple
T11109357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daanbantayan |
E262714
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Calape
Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
|
E906330
|
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: Calape | Statement: [Daanbantayan, hasBarangay, Calape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calape Context triple: [Daanbantayan, hasBarangay, Calape]
-
A.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
B.
Wasquehal
Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
-
C.
Bailundo
Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
-
D.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
E.
Mandraki
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
- 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: Calape Triple: [Daanbantayan, hasBarangay, Calape]
Generated description
Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calape Target entity description: Calape is a barangay (village-level administrative division) within the municipality of Daanbantayan in Cebu, Philippines.
-
A.
Palaonda
Palaonda is an indoor ice arena in Bolzano, Italy, primarily used for ice hockey and other sporting and entertainment events.
-
B.
Wasquehal
Wasquehal is a suburban commune in northern France that forms part of the Lille metropolitan area.
-
C.
Bailundo
Bailundo is a town and municipality in central Angola, historically significant as the seat of the Ovimbundu kingdom of Bailundo.
-
D.
Mandraki
Mandraki is the main port town and one of the primary settlements on the Greek island of Hydra, known for its traditional architecture and seaside setting.
-
E.
Mandraki
Mandraki is the main town and administrative center of the Greek island of Nisyros, known for its traditional architecture and seaside setting.
- 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.