Triple
T13228903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dhanbad |
E314955
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Maithon Dam (nearby) |
E846635
|
NE 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: Maithon Dam (nearby) | Statement: [Dhanbad, hasTouristAttraction, Maithon Dam (nearby)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maithon Dam (nearby) Context triple: [Dhanbad, hasTouristAttraction, Maithon Dam (nearby)]
-
A.
Maithon Dam
chosen
Maithon Dam is a major multipurpose dam in Jharkhand, India, known for flood control, hydroelectric power generation, and supporting irrigation in the Damodar Valley region.
-
B.
Markonahalli Dam
Markonahalli Dam is a historic irrigation and flood-control dam built across the Shimsha River in Karnataka, India.
-
C.
Mattupetty Dam
Mattupetty Dam is a scenic concrete storage dam and popular lakeside tourist spot near Munnar in Kerala, India, known for its tranquil reservoir, boating, and surrounding hill views.
-
D.
Mula Dam
Mula Dam is a major irrigation and water-supply dam built on the Mula River in Maharashtra, India.
-
E.
Hidkal Dam
Hidkal Dam is a major irrigation and hydroelectric dam built across the Ghataprabha River in Karnataka, India.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff2a4b0c8190a853a1f6f4d1cbaf |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:21 p.m.