Triple
T17062012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tabqa |
E413982
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Lake Assad |
E413979
|
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: Lake Assad | Statement: [Tabqa, locatedNear, Lake Assad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lake Assad Context triple: [Tabqa, locatedNear, Lake Assad]
-
A.
Lake Assad
chosen
Lake Assad is Syria’s largest artificial lake, created on the Euphrates River to provide water storage, irrigation, and hydroelectric power.
-
B.
Lake Qadisiyah
Lake Qadisiyah is a large artificial reservoir in western Iraq formed on the Euphrates River, primarily used for hydroelectric power generation, irrigation, and water storage.
-
C.
al-Qusayr Lake
al-Qusayr Lake is a body of water located within Syria’s Aleppo Governorate, known as a local inland lake in the country’s north.
-
D.
Lake Qaraoun
Lake Qaraoun is Lebanon’s largest artificial lake, created by damming the Litani River and serving as a key source of irrigation, hydropower, and water storage in the Beqaa Valley.
-
E.
Al Habbaniyah Lake
Al Habbaniyah Lake is a large artificial reservoir in central Iraq, known for its recreational facilities and role in irrigation and flood control.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7dea7481909e3e0bc836d27336 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014823d0a8819095491aef9b258971 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:34 a.m.