Triple
T5990177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telfair County |
E133327
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | McRae–Helena |
E561711
|
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: McRae–Helena | Statement: [Telfair County, containsCity, McRae–Helena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: McRae–Helena Context triple: [Telfair County, containsCity, McRae–Helena]
-
A.
McRae–Helena
chosen
McRae–Helena is a small city in central Georgia formed by the merger of the towns of McRae and Helena.
-
B.
Kinkaid
Kinkaid is a surname of English and Scottish origin borne by various notable individuals, including military figures and public officials.
-
C.
Bonneau Ferry
Bonneau Ferry is a historic plantation site and wildlife management area in Berkeley County, South Carolina, known for its cultural heritage and natural conservation.
-
D.
Hinson
Hinson is a surname most notably associated with former professional basketball player Roy Hinson.
-
E.
Crossfield
Crossfield is a surname most notably associated with Scott Crossfield, a pioneering American test pilot and aeronautical engineer.
- 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_69c0087010d081908bb8142342d63330 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04dc8ab648190beb1bc141796894e |
completed | March 22, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11cd900a48190b5aa83c28b3dfc1a |
completed | March 23, 2026, 10:58 a.m. |
Created at: March 22, 2026, 4:05 p.m.