Triple
T37114599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Murud |
E919083
|
entity |
| Predicate | hasNearbyIslandFort |
P66389
|
FINISHED |
| Object | Murud-Janjira Fort |
—
|
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: Murud-Janjira Fort | Statement: [Murud, hasNearbyIslandFort, Murud-Janjira Fort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbyIslandFort Context triple: [Murud, hasNearbyIslandFort, Murud-Janjira Fort]
-
A.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
-
B.
hasNearbyMainIsland
Indicates that one entity has a main island located in close geographic proximity to it.
-
C.
hasNearbyIslandArea
Indicates that one geographic area has an island area located in close proximity to it.
-
D.
hasNearbyArchipelagoArea
Indicates that one geographic area is located close to or adjacent to an archipelago area.
-
E.
hasFortificationNearby
chosen
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
- 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_69f76e9c57148190ba789dd059645bb9 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0087de41c48190b2743a26b6d65409 |
completed | May 10, 2026, 1:27 p.m. |
| PD | Predicate disambiguation | batch_6a00870a8bc48190be1385579b8cc1dd |
completed | May 10, 2026, 1:24 p.m. |
Created at: May 3, 2026, 4:15 p.m.