Triple
T16412606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qalqilya Governorate |
E398602
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Azzun
Azzun is a Palestinian town in the Qalqilya Governorate in the northern West Bank, known for its agricultural lands and location near major regional roads.
|
E1211262
|
NE FINISHED |
How this triple was built (4 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: Azzun | Statement: [Qalqilya Governorate, contains, Azzun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azzun Context triple: [Qalqilya Governorate, contains, Azzun]
-
A.
Zannone
Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
-
B.
Andruzzi
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
-
C.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
D.
Zanetto
Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
-
E.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Azzun Triple: [Qalqilya Governorate, contains, Azzun]
Generated description
Azzun is a Palestinian town in the Qalqilya Governorate in the northern West Bank, known for its agricultural lands and location near major regional roads.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Azzun Target entity description: Azzun is a Palestinian town in the Qalqilya Governorate in the northern West Bank, known for its agricultural lands and location near major regional roads.
-
A.
Zannone
Zannone is a small, uninhabited Italian island in the Tyrrhenian Sea, noted for its protected natural environment and inclusion in the Circeo National Park.
-
B.
Andruzzi
Andruzzi is an Italian-origin surname most notably associated with former NFL offensive lineman Joe Andruzzi.
-
C.
Asiago
Asiago is a town in Italy’s Veneto region best known for giving its name to the popular semi-soft Asiago cheese and for its scenic plateau setting.
-
D.
Zanetto
Zanetto is a one-act opera by Italian composer Pietro Mascagni, known for its intimate, lyrical style and concise dramatic structure.
-
E.
Salza
The Salza is a river in Austria known for its clear waters and scenic gorges, popular for whitewater sports and flowing into the Enns River.
- F. None of above. chosen
Provenance (5 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32875bad08190bc3e2218df8c1b07 |
completed | April 18, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c68b7408190a9612a57f146dc30 |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003db7b0308190bc4b8065cf2c01ec |
completed | May 10, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a003e86a9f48190ae39ec170c776604 |
completed | May 10, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:09 a.m.