Triple
T35161978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jalandhar Cantt railway station |
E1015290
|
entity |
| Predicate | servesMilitaryArea |
P201445
|
FINISHED |
| Object | Jalandhar Cantonment |
—
|
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: Jalandhar Cantonment | Statement: [Jalandhar Cantt railway station, servesMilitaryArea, Jalandhar Cantonment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesMilitaryArea Context triple: [Jalandhar Cantt railway station, servesMilitaryArea, Jalandhar Cantonment]
-
A.
partOfMilitaryArea
Indicates that one entity is located within or belongs to a designated military-controlled area of another entity.
-
B.
isMilitarySensitiveArea
Indicates that a location or region is designated as sensitive due to its military significance, requiring special protection, restrictions, or security measures.
-
C.
hasNearbyMilitaryTrainingArea
Indicates that an entity is located close to a designated area used for military training activities.
-
D.
hasMilitaryPresence
Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
-
E.
isMilitaryInstallation
Indicates that a location functions as a military facility or base used for defense, training, operations, or related armed forces activities.
- 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_69f76ddb3a708190b521ba2970b17178 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fff59a00a881909b35b799654b3c45 |
completed | May 10, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69fff4d0a2e081909c972189b33d0128 |
completed | May 10, 2026, 3 a.m. |
| PDg | Predicate description generation | batch_69fff59875cc8190864864e951951679 |
completed | May 10, 2026, 3:03 a.m. |
Created at: May 3, 2026, 4:02 p.m.