Triple
T11062142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Badian |
E261532
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Taytay |
E719875
|
NE FINISHED |
How this triple was built (2 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: Taytay | Statement: [Badian, hasBarangay, Taytay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taytay Context triple: [Badian, hasBarangay, Taytay]
-
A.
Taytay
Taytay is a municipality in the province of Rizal in the Philippines, known as a rapidly urbanizing suburban area just east of Metro Manila.
-
B.
Taytay
chosen
Taytay is a historic coastal municipality in the province of Palawan in the Philippines, known for its Spanish-era fort and scenic island-dotted bay.
-
C.
Santanyí
Santanyí is a picturesque coastal town in southeastern Mallorca, Spain, known for its traditional stone architecture, weekly markets, and nearby sandy coves.
-
D.
Cullera
Cullera is a coastal town in eastern Spain known for its Mediterranean beaches, historic castle, and location at the mouth of the Júcar River.
-
E.
Sotres
Sotres is a small mountain village in Asturias, northern Spain, known as a popular base for hiking and accessing the Picos de Europa.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798eb838c819089a89c55209c0295 |
completed | April 9, 2026, 12:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e75b90ec8190b1a799e0183c6784 |
completed | April 18, 2026, 8:19 p.m. |
Created at: April 8, 2026, 9:26 p.m.