Triple
T19120408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerbogha of Mosul |
E468026
|
entity |
| Predicate | yearOfMajorCampaign |
P82825
|
FINISHED |
| Object | 1098 |
—
|
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: 1098 | Statement: [Kerbogha of Mosul, yearOfMajorCampaign, 1098]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfMajorCampaign Context triple: [Kerbogha of Mosul, yearOfMajorCampaign, 1098]
-
A.
hasMajorCampaign
Indicates that an entity is associated with or participates in a primary, large-scale campaign.
-
B.
yearOfPresidentialCampaign
Indicates the specific year in which an individual conducted or participated in a presidential election campaign.
-
C.
campaignYear
chosen
Indicates the specific year in which a campaign takes place, is launched, or is associated with an entity.
-
D.
firstMajorRallyYear
Indicates the calendar year in which an entity held its first significant rally or major organized gathering.
-
E.
yearOfMajorVictory
Indicates the specific year in which a major victory associated with the subject occurred.
- 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c921d4819092e2ae237bf85978 |
completed | April 20, 2026, 8:28 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:05 p.m.