Triple
T9405048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Will Rogers Polo Field |
E226564
|
entity |
| Predicate | continuouslyUsedForPoloSince |
P2451
|
FINISHED |
| Object | 20th century |
—
|
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: 20th century | Statement: [Will Rogers Polo Field, continuouslyUsedForPoloSince, 20th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuouslyUsedForPoloSince Context triple: [Will Rogers Polo Field, continuouslyUsedForPoloSince, 20th century]
-
A.
wornFor
Indicates that an item is worn for a particular purpose, function, or occasion.
-
B.
hasInsigniaWornBy
Indicates that a particular insignia is worn by a specified entity (such as a person, group, or organization).
-
C.
usedSince
Indicates that an entity has been in use starting from a specified point in time and continuing thereafter.
-
D.
titleUsedSince
Indicates that a particular title has been in use starting from a specified point in time.
-
E.
inUseSince
chosen
Indicates that an entity has been actively in use starting from a specified point in time.
- 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_69ca843170f88190800a8ab2b5fc568e |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd51c125dc8190a6438cf0ee23e7a9 |
completed | April 1, 2026, 5:11 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:46 p.m.