Triple
T791458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jarawa |
E16922
|
entity |
| Predicate | transportThreat |
P19332
|
FINISHED |
| Object | Andaman Trunk Road passing through their reserve |
—
|
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: Andaman Trunk Road passing through their reserve | Statement: [Jarawa, transportThreat, Andaman Trunk Road passing through their reserve]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportThreat Context triple: [Jarawa, transportThreat, Andaman Trunk Road passing through their reserve]
-
A.
transportFor
Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
-
B.
publicTransit
Indicates that one entity provides or is connected via shared, scheduled transportation services (such as buses, trains, or subways) that are available for use by the general public.
-
C.
threat
Indicates a relationship where one entity expresses or poses potential harm, danger, or negative consequences toward another entity.
-
D.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
E.
threatenedBy
Indicates that one entity poses a danger or potential harm to another entity.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a798c7608190b9c79c52a1fe0859 |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50ef72c819084ffe9f31dbd0262 |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a62b497081909503c8d30c7ce1db |
completed | March 1, 2026, 8:48 p.m. |
Created at: March 1, 2026, 7:38 p.m.