Triple
T26530485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Expeditions of Zhuge Liang |
E670807
|
entity |
| Predicate | numberOfMajorCampaigns |
P195892
|
FINISHED |
| Object | five |
—
|
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: five | Statement: [Northern Expeditions of Zhuge Liang, numberOfMajorCampaigns, five]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfMajorCampaigns Context triple: [Northern Expeditions of Zhuge Liang, numberOfMajorCampaigns, five]
-
A.
hasMajorCampaign
Indicates that an entity is associated with or participates in a primary, large-scale campaign.
-
B.
continuedCampaignsOf
Indicates that one campaign is a direct continuation or follow-up of another campaign, extending its efforts or objectives over time.
-
C.
numberOfPresidentialCampaigns
Indicates the total count of times an individual has run as a candidate in a presidential election.
-
D.
numberOfMajorBattles
Indicates the total count of significant or major battles associated with an entity or event.
-
E.
conductedCampaignsAgainst
Indicates that an entity organized and carried out systematic efforts or operations targeting another entity in opposition or conflict.
- 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69fdee75d1408190bba58a9cef200a54 |
completed | May 8, 2026, 2:08 p.m. |
Created at: April 27, 2026, 1:35 a.m.