Triple
T14967271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Wall of Sindh |
E373220
|
entity |
| Predicate | nearbyAttraction |
P3449
|
FINISHED |
| Object | Sann Gate |
E373221
|
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: Sann Gate | Statement: [Great Wall of Sindh, nearbyAttraction, Sann Gate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sann Gate Context triple: [Great Wall of Sindh, nearbyAttraction, Sann Gate]
-
A.
Sann Gate
chosen
Sann Gate is one of the main historic entrances to Ranikot Fort, a vast fortification in Sindh, Pakistan, often called the "Great Wall of Sindh."
-
B.
Steintor (Stone Gate)
Steintor (Stone Gate) is a historic city gate and landmark in Hanover, Germany, that once formed part of the medieval fortifications and now lends its name to the surrounding square and district.
-
C.
Steintor city gate
The Steintor city gate is a historic medieval gate in Anklam, Germany, and one of the town’s most prominent architectural landmarks.
-
D.
Musegg Gate
Musegg Gate is one of the historic towers and entrances incorporated into Lucerne’s medieval Musegg Wall fortifications in Switzerland.
-
E.
Sannergata
Sannergata is a street in the Grünerløkka district of Oslo, Norway, known for its urban character and proximity to cafés, shops, and residential areas.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be4b0a88190989022108a58370d |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:47 a.m.