Triple
T37026136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lulu Island–Sea Island area |
E916359
|
entity |
| Predicate | hasUrbanCoreOn |
P1495
|
FINISHED |
| Object | Lulu Island |
—
|
NE NERFINISHED |
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: Lulu Island | Statement: [Lulu Island–Sea Island area, hasUrbanCoreOn, Lulu Island]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUrbanCoreOn Context triple: [Lulu Island–Sea Island area, hasUrbanCoreOn, Lulu Island]
-
A.
isUrbanCore
Indicates that a place or area functions as the central, densely developed, and most intensively used part of an urban region.
-
B.
hasUrbanCoreSizeRequirement
Indicates that there is a specified minimum or required size for the urban core associated with an entity.
-
C.
hasUrbanBase
Indicates that an entity maintains its primary base, headquarters, or core operations within an urban area.
-
D.
hasUrbanModel
Indicates that an entity is associated with or characterized by a specific urban planning or city-scale representation model.
-
E.
hasUrbanFeature
chosen
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
- F. None of above.
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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.