Triple
T23904016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1976 World Rally Championship season |
E601133
|
entity |
| Predicate | numberOfRallies |
P154025
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [1976 World Rally Championship season, numberOfRallies, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRallies Context triple: [1976 World Rally Championship season, numberOfRallies, 10]
-
A.
notableRally
Indicates a rally or gathering that is distinguished by particular significance, impact, or prominence compared to ordinary rallies.
-
B.
lastMajorRallyHeld
Indicates the most recent significant rally event that was held for or by a given entity.
-
C.
numberOfProtesters
Indicates the total count of individuals participating as protesters in a given event or context.
-
D.
numberOfCampaigns
Indicates the total count of campaigns associated with or involved in a given entity or context.
-
E.
numberOfPetitions
Indicates the total count of petitions associated with a given entity or context.
- F. None of above. chosen
Provenance (4 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cde0674c8190a5e1ce0315ae83cd |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.