Triple
T15816415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreveport Downtown Airport |
E383489
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Shreveport |
E80831
|
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: Shreveport | Statement: [Shreveport Downtown Airport, locatedIn, Shreveport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shreveport Context triple: [Shreveport Downtown Airport, locatedIn, Shreveport]
-
A.
Shreveport
chosen
Shreveport is a major city in northwestern Louisiana known for its role as a regional commercial, cultural, and transportation hub.
-
B.
Bossier City
Bossier City is a mid-sized city in northwestern Louisiana, located across the Red River from Shreveport and known as part of a regional economic and casino-gaming hub.
-
C.
Opelousas, Louisiana
Opelousas, Louisiana is a historic city in south-central Louisiana known as a center of Creole and Zydeco culture and music.
-
D.
Houma
The Houma are a Native American people historically based in what is now Louisiana, known for their distinct culture, language heritage, and ties to the Mississippi River delta region.
-
E.
Morgan City
Morgan City is a coastal community in south-central Louisiana known for its seafood industry, oil and gas activities, and location along the Atchafalaya River.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a306a48190840adc49df2c26c5 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:49 a.m.