Triple
T19113720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fort Leonard Wood |
E467852
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | FLW |
E467852
|
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: FLW | Statement: [Fort Leonard Wood, hasAlias, FLW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FLW Context triple: [Fort Leonard Wood, hasAlias, FLW]
-
A.
FLW
chosen
FLW is the common abbreviation for Fort Leonard Wood, a major U.S. Army training installation located in Missouri.
-
B.
FLW
FLW is the three-letter IATA airport code for Flores Airport, which serves Flores Island in Portugal’s Azores archipelago.
-
C.
FLW
FLW is the National Rail station code for Fulwell railway station in London, England.
-
D.
LFLW
LFLW is the ICAO airport code for Aurillac – Tronquières Airport in France.
-
E.
Offshore Angler
Offshore Angler is a Bass Pro Shops private-label brand specializing in saltwater fishing gear, tackle, and apparel.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e39617408190b5134918f54f9c52 |
completed | April 20, 2026, 8:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a06f24617b08190bad4419dc19bfd48 |
completed | May 15, 2026, 10:15 a.m. |
Created at: April 10, 2026, 12:05 p.m.