Triple
T31938367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greer County, Texas (historical) |
E815455
|
entity |
| Predicate | areaLaterAwardedTo |
P173017
|
FINISHED |
| Object | Oklahoma Territory |
E145638
|
NE 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: Oklahoma Territory | Statement: [Greer County, Texas (historical), areaLaterAwardedTo, Oklahoma Territory]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaLaterAwardedTo Context triple: [Greer County, Texas (historical), areaLaterAwardedTo, Oklahoma Territory]
-
A.
laterAwardedBy
Indicates that an entity received an award from another entity at a later time than some referenced event or point in time.
-
B.
holderAwardedFor
Indicates that an award holder received the award specifically in recognition of, or as a result of, a particular work, achievement, or contribution.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
formerlyAwardedIn
Indicates that an award or recognition was previously given in a particular context, time, or location but is no longer awarded there.
-
E.
awardedFrom
Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
- F. None of above. chosen
Provenance (5 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_69f348f3035c81908558e2339955abb3 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b2d9aad88190a445f8f591cb19fc |
completed | May 3, 2026, 2:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2e8a41b2c481908f16c34c7a35ec5e |
completed | June 14, 2026, 11:02 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
| PDg | Predicate description generation | batch_69f6b21da77081908c5c015c4606d344 |
completed | May 3, 2026, 2:25 a.m. |
Created at: May 1, 2026, 12:05 a.m.