Triple
T35998455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Molina |
E1041058
|
entity |
| Predicate | isLocational |
P114235
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [De Molina, isLocational, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocational Context triple: [De Molina, isLocational, true]
-
A.
localityOf
Indicates that one entity is the specific place, area, or locality in which another entity is situated or occurs.
-
B.
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).
-
C.
likelyLocatedIn
chosen
Indicates that an entity is probably situated within or associated with a particular location, though not with absolute certainty.
-
D.
locates
Indicates that one entity determines, specifies, or identifies the position or place of another entity in space or within a given context.
-
E.
propertyLocation
Indicates the geographical place or address where a property is situated or found.
- 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_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:07 p.m.