Triple
T15609040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pangong Tso |
E375237
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Pangong Lake |
E375237
|
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: Pangong Lake | Statement: [Pangong Tso, alsoKnownAs, Pangong Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pangong Lake Context triple: [Pangong Tso, alsoKnownAs, Pangong Lake]
-
A.
Pangong Tso
chosen
Pangong Tso is a high-altitude, endorheic lake in the Himalayas, famed for its striking blue waters and location along the disputed border between India and China.
-
B.
Pichola Lake
Pichola Lake is a picturesque artificial freshwater lake in Udaipur, Rajasthan, famed for its island palaces, surrounding ghats, and scenic views of the Aravalli hills.
-
C.
Lakha Banjara Lake
Lakha Banjara Lake is a prominent artificial lake and local landmark situated near the city of Sagar in Madhya Pradesh, India.
-
D.
Sukhna Lake
Sukhna Lake is a man-made reservoir at the foothills of the Shivalik range, known as a popular recreational and scenic spot in Chandigarh, India.
-
E.
Rawal Lake
Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f37383c81909d0efce84508a034 |
completed | May 9, 2026, 4:22 p.m. |
Created at: April 10, 2026, 4:13 a.m.