Triple
T19267146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Makati |
E481814
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Poblacion
Poblacion is the historic downtown and cultural nightlife hub of Makati in Metro Manila, Philippines.
|
E450365
|
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: Poblacion | Statement: [City of Makati, hasDistrict, Poblacion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Poblacion Context triple: [City of Makati, hasDistrict, Poblacion]
-
A.
Poblacion
Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
-
B.
Poblacion
Poblacion is the central urban barangay and administrative core of the municipality of Morong in the province of Bataan, Philippines.
-
C.
Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Argao in Cebu, Philippines.
-
D.
Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
-
E.
Poblacion
Poblacion is the central urban barangay and main commercial and administrative district of Kalibo in the province of Aklan, Philippines.
- 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: Poblacion Triple: [City of Makati, hasDistrict, Poblacion]
Generated description
Poblacion is the historic downtown and cultural nightlife hub of Makati in Metro Manila, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Poblacion Target entity description: Poblacion is the historic downtown and cultural nightlife hub of Makati in Metro Manila, Philippines.
-
A.
Poblacion
chosen
Poblacion is a historic and nightlife-centric urban barangay in Makati, Metro Manila, known for its mix of old residential areas, bars, restaurants, and cultural spots.
-
B.
Poblacion
Poblacion is the central urban barangay and main commercial and administrative district of Kalibo in the province of Aklan, Philippines.
-
C.
Poblacion
Poblacion is the central urban barangay and main town center of Daanbantayan in Cebu, Philippines.
-
D.
Poblacion
Poblacion is the central urban barangay and main town center of Baler in Aurora province, Philippines.
-
E.
Poblacion
Poblacion is the central urban barangay and administrative hub of the municipality of Dumalag in the Philippines.
- F. None of above.
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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8e1f888190a95f60fa29ca3b98 |
completed | April 20, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a070e6ec97c81909944d41943b94b34 |
completed | May 15, 2026, 12:15 p.m. |
| NEDg | Description generation | batch_6a070fc891448190a5061c0d340548d5 |
completed | May 15, 2026, 12:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0710836b608190a89900ba3f6916bb |
completed | May 15, 2026, 12:24 p.m. |
Created at: April 10, 2026, 1:29 p.m.