Triple
T30279754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 28th Infantry Regiment |
E770053
|
entity |
| Predicate | engagedOnIsland |
P169046
|
FINISHED |
| Object | Guadalcanal |
—
|
NE NERFINISHED |
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: Guadalcanal | Statement: [28th Infantry Regiment, engagedOnIsland, Guadalcanal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: engagedOnIsland Context triple: [28th Infantry Regiment, engagedOnIsland, Guadalcanal]
-
A.
meetsInIsland
Indicates that two or more entities meet with each other at a location that is an island.
-
B.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
-
C.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
D.
signedOnIsland
Indicates that the signing of an agreement, document, or contract took place on an island.
-
E.
onlyInhabitedIsland
Indicates that the subject is the sole inhabited island within a specified geographic or contextual set, with no other islands in that set having inhabitants.
- 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_69f224868fa8819099127eaf8855a28f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680dbb6788190886487f281cdfcce |
completed | May 2, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:45 p.m.