Triple
T25397748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangsau Pass |
E636336
|
entity |
| Predicate | approachRouteFromIndia |
P6174
|
FINISHED |
| Object |
Ledo–Nampong road
The Ledo–Nampong road is a strategic roadway in India’s Northeast that connects the town of Ledo in Assam to Nampong in Arunachal Pradesh, serving as a key access route toward the India–Myanmar border.
|
E1682429
|
NE FINISHED |
How this triple was built (3 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: Ledo–Nampong road | Statement: [Pangsau Pass, approachRouteFromIndia, Ledo–Nampong road]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ledo–Nampong road Triple: [Pangsau Pass, approachRouteFromIndia, Ledo–Nampong road]
Generated description
The Ledo–Nampong road is a strategic roadway in India’s Northeast that connects the town of Ledo in Assam to Nampong in Arunachal Pradesh, serving as a key access route toward the India–Myanmar border.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachRouteFromIndia Context triple: [Pangsau Pass, approachRouteFromIndia, Ledo–Nampong road]
-
A.
returnToIndia
Indicates that an entity goes or moves back to India, typically after having been away.
-
B.
approachRoute
chosen
Indicates the path or method taken by one entity as it moves toward or comes closer to another entity or target.
-
C.
entryPointFromPakistan
Indicates that something serves as a point of entry originating from Pakistan.
-
D.
accessionToIndia
Indicates the act or process by which a territory, entity, or region formally joins or is incorporated into India.
-
E.
routeOf
Indicates that one entity is the path, course, or trajectory taken or followed by another entity (such as a vehicle, shipment, or signal).
- F. None of above.
Provenance (6 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_69e75db263888190b77fff9e2827b9a2 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ad51d76881909e5ffde78756384a |
completed | May 22, 2026, 7:24 p.m. |
| NEDg | Description generation | batch_6a10ae56b8a48190a448e1a4bd938a2b |
completed | May 22, 2026, 7:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10af45b9048190b1613ef21fa00caf |
completed | May 22, 2026, 7:32 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 1:50 p.m.