Triple
T3068771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas's 36th congressional district |
E62168
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Baytown, Texas |
E312201
|
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: Baytown, Texas | Statement: [Texas's 36th congressional district, contains, Baytown, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baytown, Texas Context triple: [Texas's 36th congressional district, contains, Baytown, Texas]
-
A.
Baytown, Texas
chosen
Baytown, Texas is an industrial city in the Houston metropolitan area known for its petrochemical complexes and location along the Gulf Coast.
-
B.
Bacliff, Texas
Bacliff, Texas is a small unincorporated coastal community in Galveston County located along the western shore of Galveston Bay.
-
C.
Texas City, Texas
Texas City, Texas is an industrial Gulf Coast city in Galveston County known for its major port facilities, petrochemical complexes, and the site of the 1947 Texas City disaster.
-
D.
Beaumont, Texas
Beaumont, Texas is an industrial and cultural city in Southeast Texas near the Gulf Coast, known for its oil history and role as a regional education and commerce hub.
-
E.
Deer Park, Texas
Deer Park, Texas is a petrochemical-industry-centered city in the Houston metropolitan area along the Houston Ship Channel.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0ffcc208190962cc9edcbf43c31 |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324da09888190b3ea7763d3a09d5d |
completed | March 12, 2026, 8:40 p.m. |
Created at: March 8, 2026, 3:02 p.m.