Triple
T24072160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITPEG |
E596262
|
entity |
| Predicate | hasLocationCodePart |
P123372
|
FINISHED |
| Object | PEG |
—
|
LITERAL 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: PEG | Statement: [ITPEG, hasLocationCodePart, PEG]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocationCodePart Context triple: [ITPEG, hasLocationCodePart, PEG]
-
A.
hasLocationComponent
Indicates that something includes, is associated with, or is composed of a specific location-related part or element.
-
B.
hasNationalLocationCode
Indicates that an entity is associated with a specific national location code that identifies its location within a country’s coding system.
-
C.
locationCodePart
chosen
Indicates that one location code is a constituent or segment of another, larger location code.
-
D.
hasLocationRole
Indicates that an entity holds or plays a specific role in relation to a particular location (e.g., origin, destination, storage site, or operational area).
-
E.
hasSubdivisionCodePart
Indicates that an entity’s subdivision code includes or is composed of the referenced code segment or component.
- 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_69e288c3999c8190809b282a04813dec |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1db1aad248190a1d25c64cc5016eb |
completed | April 29, 2026, 10:19 a.m. |
| PD | Predicate disambiguation | batch_69f1764b1d4c8190b12590c6339c31c1 |
completed | April 29, 2026, 3:08 a.m. |
Created at: April 17, 2026, 10:41 p.m.