Triple
T38675898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tampa |
E943737
|
entity |
| Predicate | isLandComponent |
P41565
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Battle of Tampa, isLandComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLandComponent Context triple: [Battle of Tampa, isLandComponent, true]
-
A.
hasLandComponent
chosen
Indicates that something includes, consists of, or is associated with a land-based part or portion as one of its components.
-
B.
isInLand
Indicates that one entity is located within the geographical boundaries of a land area or territory of another entity.
-
C.
isLandOf
Indicates that a specified area or territory belongs to, is governed by, or is characteristically associated with a particular entity (such as a country, people, or ruler).
-
D.
isInLandAreaType
Indicates that one entity is located within, or belongs to, a specified type of land area (such as urban, rural, coastal, or agricultural).
-
E.
hasConnectionToLand
Indicates that one entity is linked, attached, or otherwise related to a specific piece or area of land.
- 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_69f76eec28708190b9c82a505fc278e0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.