Triple
T24446206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AVE network |
E616411
|
entity |
| Predicate | endPointOfFirstLine |
P390
|
FINISHED |
| Object | Seville |
—
|
NE NERFINISHED |
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: Seville | Statement: [AVE network, endPointOfFirstLine, Seville]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endPointOfFirstLine Context triple: [AVE network, endPointOfFirstLine, Seville]
-
A.
positionOnLine
Indicates that one entity occupies a specific location along a defined line or linear path in relation to another.
-
B.
isFirstFullyAutomaticLineIn
Indicates that something is the first fully automatic production or processing line located within a specified context or place.
-
C.
endPoint
chosen
Indicates the terminal location, limit, or final state reached by an object, process, or path in a given relationship or action.
-
D.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
E.
firstLineBeginsWith
Indicates that the first line of a text or document starts with a specified sequence of characters or substring.
- F. None of above.
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_69e2d7edca608190aafefc8877a1b4da |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29853a3ac81908bb5398539a44cd6 |
completed | April 29, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69f287d3237c819099559c00f83131d8 |
completed | April 29, 2026, 10:36 p.m. |
Created at: April 18, 2026, 2:17 a.m.