Triple
T27091783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pak Mun Dam |
E686185
|
entity |
| Predicate | fishLadderEffectiveness |
P84339
|
FINISHED |
| Object | widely criticized as ineffective |
—
|
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: widely criticized as ineffective | Statement: [Pak Mun Dam, fishLadderEffectiveness, widely criticized as ineffective]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fishLadderEffectiveness Context triple: [Pak Mun Dam, fishLadderEffectiveness, widely criticized as ineffective]
-
A.
hasFishPassage
Indicates that there exists a structure or feature that allows fish to move or migrate through, past, or around a barrier such as a dam or weir.
-
B.
effectivenessAgainst
chosen
Indicates how well one entity performs in countering, influencing, or mitigating the impact of another entity.
-
C.
fishPassage
Indicates that a water structure or feature allows fish to move or migrate through or past it.
-
D.
landfallEffect
Indicates the impact or consequences that occur when a storm or similar weather system moves from water onto land.
-
E.
upstreamLake
Indicates that one lake is situated upstream of another lake within the same water flow or drainage system.
- F. None of above.
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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6234a6170819094a1f6d3a7864900 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 8:41 a.m.