Triple
T37325153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PEN |
E926580
|
entity |
| Predicate | codeForRegion |
P156800
|
FINISHED |
| Object | Penang |
—
|
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: Penang | Statement: [PEN, codeForRegion, Penang]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: codeForRegion Context triple: [PEN, codeForRegion, Penang]
-
A.
codeForCountryInRegion
Indicates that a specific country code is associated with, or belongs to, a particular geographic or political region.
-
B.
gridCodeRegion
Indicates a relationship where a specific grid code is associated with, or designates, a particular geographic or administrative region.
-
C.
regionCodeUsedIn
chosen
Indicates that a specific region code is utilized or applied within a particular context, system, or entity.
-
D.
codeFor
Indicates that one entity serves as the implementation, encoding, or programmatic representation for another entity.
-
E.
codeForCountryInContinent
Indicates that a specific country code corresponds to a country located within a given continent.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb78cbef988190b8f79d946b46e6b2 |
completed | May 6, 2026, 5:22 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9ac5a08190b24ef308963fc52b |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.