Triple
T28246376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hans Max Gamper-Haessig |
E712178
|
entity |
| Predicate | termAsPresidentOfFCBarcelonaStart |
P80163
|
FINISHED |
| Object | 1908 |
—
|
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: 1908 | Statement: [Hans Max Gamper-Haessig, termAsPresidentOfFCBarcelonaStart, 1908]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsPresidentOfFCBarcelonaStart Context triple: [Hans Max Gamper-Haessig, termAsPresidentOfFCBarcelonaStart, 1908]
-
A.
presidencyPeriodAtFCBarcelona
chosen
Indicates the time span during which an individual served as president of FC Barcelona.
-
B.
numberOfTermsAsFCBarcelonaPresident
Indicates the number of separate terms an individual has served as president of FC Barcelona.
-
C.
startTimeAtTeam_FCBarcelona
Indicates the time at which an entity begins its association or activity with the team FC Barcelona.
-
D.
FCBarcelonaTemporaryUseStart
Indicates the date or point in time when FC Barcelona begins a temporary use or occupancy of something (such as a player, facility, or resource).
-
E.
managerYearsAtFCBarcelona
Indicates the number of years an individual served as a manager at FC Barcelona.
- 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_69efb51fb98881909692421959ec0170 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f643c95d8881908513f34fd6a0216e |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 11:01 p.m.