Triple
T15592283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lamb County |
E374774
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Littlefield |
E1165381
|
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: Littlefield | Statement: [Lamb County, hasCity, Littlefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Littlefield Context triple: [Lamb County, hasCity, Littlefield]
-
A.
Littlefield
Littlefield is a surname of English origin borne by various notable individuals across American history and culture.
-
B.
Littlefield
Littlefield is a residential area that forms one of the neighbourhoods within the town of Grimsby in North East Lincolnshire, England.
-
C.
Littlefield
chosen
Littlefield is a small city in northwestern Texas known historically for its cotton farming and ranching economy.
-
D.
Littleville
Littleville is a small town located in Colbert County in the northwestern part of Alabama, United States.
-
E.
Littletown
Littletown is a small district or locality within the West Yorkshire village of Liversedge in northern England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5e43d48190a8fd367f13f1c7e1 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c5baac819099d53896f6a35d94 |
completed | May 9, 2026, 3:46 p.m. |
Created at: April 10, 2026, 4:12 a.m.