Triple
T16132662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SEA |
E391438
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | Lisea |
E391437
|
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: Lisea | Statement: [SEA, ownedBy, Lisea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lisea Context triple: [SEA, ownedBy, Lisea]
-
A.
Lisea
chosen
Lisea is a French private consortium that finances, builds, and operates the high-speed rail line LGV Sud Europe Atlantique between Tours and Bordeaux.
-
B.
Lizella
Lizella is an unincorporated community in central Georgia, United States, located near the city of Macon.
-
C.
Nerissa
Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
-
D.
Lygia
Lygia is a feminine given name of Portuguese origin, notably borne by Brazilian artist Lygia Pape.
-
E.
Elissar
Elissar is the legendary Phoenician queen and founder of the ancient city of Carthage, often identified with the figure of Dido in classical mythology.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21a02e0048190b4e2c6ff434c2d7a |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2b1b7248190a1bba4a87db8318b |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.