Triple
T38632089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pueblo de Los Ángeles |
E937475
|
entity |
| Predicate | presentRemnant |
P44035
|
FINISHED |
| Object | El Pueblo de Los Ángeles Historical Monument |
—
|
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: El Pueblo de Los Ángeles Historical Monument | Statement: [Pueblo de Los Ángeles, presentRemnant, El Pueblo de Los Ángeles Historical Monument]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presentRemnant Context triple: [Pueblo de Los Ángeles, presentRemnant, El Pueblo de Los Ángeles Historical Monument]
-
A.
remnants
chosen
Indicates that parts or traces of something remain after the main portion has been removed, used, or destroyed.
-
B.
remnantDetected
Indicates that a remaining trace or leftover of a prior entity, event, or process has been identified.
-
C.
presentOn
Indicates that one entity is physically located on the surface or within the bounds of another entity.
-
D.
lastRemnantOf
Indicates that one entity is the sole remaining instance or surviving part of another entity, after all similar or related instances have disappeared.
-
E.
remnantUsedBy
Indicates that a remaining part or leftover of something is utilized or employed by another entity.
- 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_69f76ed5ca3c81909288f61fbf37b359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:32 p.m.