Triple
T4108164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabqa Dam |
E88504
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Euphrates Dam |
E88504
|
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: Euphrates Dam | Statement: [Tabqa Dam, alsoKnownAs, Euphrates Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Euphrates Dam Context triple: [Tabqa Dam, alsoKnownAs, Euphrates Dam]
-
A.
Keban Dam
Keban Dam is a major hydroelectric and flood-control dam in eastern Turkey that forms one of the largest reservoirs on the Euphrates River.
-
B.
Gilboa Dam
Gilboa Dam is a large earthen embankment dam in Schoharie County, New York, that impounds the Schoharie Creek to form part of New York City's upstate water supply system.
-
C.
Atatürk Dam
Atatürk Dam is one of Turkey’s largest and most significant hydroelectric and irrigation dams, forming a key part of the Southeastern Anatolia Project on the Euphrates River.
-
D.
Tabqa Dam
chosen
Tabqa Dam is a major hydroelectric and irrigation dam on the Euphrates River in northern Syria, forming Lake Assad and playing a key role in the country’s water and power supply.
-
E.
Kok-Aral Dam
The Kok-Aral Dam is a hydraulic structure in Kazakhstan built to separate and raise water levels in the North Aral Sea, aiding in the partial ecological and economic recovery of the region.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019e23c481909578eba1c9270282 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576a695b08190890aa4f64289d227 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:40 p.m.