Triple
T16758719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esperanza Osmeña |
E407278
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Manila, Philippines |
E7896
|
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: Manila, Philippines | Statement: [Esperanza Osmeña, residence, Manila, Philippines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manila, Philippines Context triple: [Esperanza Osmeña, residence, Manila, Philippines]
-
A.
Manila
Manila is the OpenStack shared file system service that provides scalable, API-driven management of networked file shares.
-
B.
Manila
chosen
Manila is the capital city of the Philippines, a historic and densely populated coastal metropolis that has long served as the country’s political, economic, and cultural center.
-
C.
Manila, Philippine Islands
Manila, Philippine Islands is the capital and chief city of the Philippines, serving as its historic, political, and economic center.
-
D.
San Miguel, Manila
San Miguel, Manila is a historic district in the city of Manila, Philippines, known for housing the presidential Malacañang Palace and various government and educational institutions.
-
E.
Binondo, Manila, Philippines
Binondo in Manila, Philippines is the city’s historic Chinatown district, renowned as one of the oldest Chinatowns in the world and a bustling center of commerce, culture, and cuisine.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abea156c8190a5ee6d0028471810 |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00aaf7908481909af31fc2d02f33fb |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:21 a.m.