Triple
T5299549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pont de Neuilly |
E119941
|
entity |
| Predicate | isPartOfAxis |
P60936
|
FINISHED |
| Object | historical axis of Paris |
—
|
LITERAL 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: historical axis of Paris | Statement: [Pont de Neuilly, isPartOfAxis, historical axis of Paris]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfAxis Context triple: [Pont de Neuilly, isPartOfAxis, historical axis of Paris]
-
A.
usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
-
B.
isAxisBetween
Indicates that one entity serves as a central or reference axis positioned between two other entities in a spatial or structural arrangement.
-
C.
formsAxisOf
chosen
Indicates that one entity serves together with another as the central line or primary axis around which a structure, system, or configuration is organized.
-
D.
isMajorAxisFor
Indicates that something serves as the primary or longest axis that defines the main directional or structural orientation of another object or system.
-
E.
ridgeAxis
Indicates the central line or crest along the top of a ridge that defines its main axis or direction.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.