Triple
T4891815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tarbes–Lourdes–Pyrénées Airport |
E109579
|
entity |
| Predicate | hasPassengerFocus |
P10167
|
FINISHED |
| Object | Catholic pilgrims |
—
|
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: Catholic pilgrims | Statement: [Tarbes–Lourdes–Pyrénées Airport, hasPassengerFocus, Catholic pilgrims]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassengerFocus Context triple: [Tarbes–Lourdes–Pyrénées Airport, hasPassengerFocus, Catholic pilgrims]
-
A.
hasProgramFocus
Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
-
B.
hasPrimaryFocus
chosen
Indicates that something is the main subject, concern, or area of attention for an entity or activity.
-
C.
hasCollectionFocus
Indicates that something is primarily concerned with, centered on, or directed toward a particular collection or set of items.
-
D.
mayProvideFocus
Indicates that one entity can potentially direct attention, emphasis, or concentration toward another entity or aspect.
-
E.
hasFocusGroup
Indicates that an entity is associated with or participates in a specific focus group for targeted discussion, feedback, or research.
- 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_69bd4410bbf88190aad50d2451c863d6 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffabccc81909115ece1b04e2061 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:28 p.m.