Triple
T10671638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cultural Center of the Philippines Complex |
E251501
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Harbor Square |
E667624
|
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: Harbor Square | Statement: [Cultural Center of the Philippines Complex, hasPart, Harbor Square]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harbor Square Context triple: [Cultural Center of the Philippines Complex, hasPart, Harbor Square]
-
A.
Harbour Square
chosen
Harbour Square is a popular waterfront dining and entertainment complex in Manila, Philippines, known for its restaurants, bayside views, and proximity to major cultural landmarks.
-
B.
Harborplace
Harborplace is a waterfront shopping, dining, and entertainment complex located along Baltimore's Inner Harbor.
-
C.
Harbour Village
Harbour Village is a small coastal settlement in Pembrokeshire, Wales, situated near the town of Goodwick.
-
D.
Harbor Point
Harbor Point is a major waterfront redevelopment district in Stamford, Connecticut, featuring mixed-use residential, commercial, and recreational spaces along the city’s South End.
-
E.
Harbor Point
Harbor Point is a modern mixed-use development district on Baltimore’s waterfront known for its offices, residences, and public spaces built on a former industrial site.
- 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_69d6aa5b0d2881909584b20efc5877f0 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6f8648a248190a3bd284c569152e4 |
completed | April 9, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9886e3f108190bb6f17d4e2f394ef |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:09 p.m.