Triple
T1988396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mizab al-Rahmah |
E43192
|
entity |
| Predicate | visibleFrom |
P1165
|
FINISHED |
| Object | MatafArea |
E43189
|
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: MatafArea | Statement: [Mizab al-Rahmah, visibleFrom, MatafArea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MatafArea Context triple: [Mizab al-Rahmah, visibleFrom, MatafArea]
-
A.
Mataf area
chosen
The Mataf area is the open courtyard in the Masjid al-Haram in Mecca where pilgrims perform the ritual circumambulation (tawaf) around the Kaaba.
-
B.
Kalorama neighborhood
Kalorama neighborhood is an affluent, historic residential area in Northwest Washington, D.C., known for its embassies, stately homes, and prominent political residents.
-
C.
Plaka neighborhood
Plaka neighborhood is a historic district in Athens known for its neoclassical architecture, narrow streets, and lively tavernas at the foot of the Acropolis.
-
D.
Javel district
Javel district is a neighborhood in southwestern Paris known historically for its industrial past and riverside location along the Seine.
-
E.
Nadia district
Nadia district is an administrative district in the Indian state of West Bengal, known for its historical towns, cultural heritage, and agricultural economy.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8421290819080d7d69a51fb3738 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0336177c8190bb9d3d921fff13e8 |
completed | March 8, 2026, 11:16 p.m. |
Created at: March 4, 2026, 7:37 p.m.