Triple
T15829430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Homa Hotel Group |
E383830
|
entity |
| Predicate | operatesInCity |
P3207
|
FINISHED |
| Object | Mashhad |
E80068
|
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: Mashhad | Statement: [Homa Hotel Group, operatesInCity, Mashhad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mashhad Context triple: [Homa Hotel Group, operatesInCity, Mashhad]
-
A.
Mashhad
chosen
Mashhad is a major city in northeastern Iran renowned as a leading religious and cultural center of the Islamic world, centered around the shrine of Imam Reza.
-
B.
Isfahan
Isfahan is a historic Iranian city renowned for its Safavid-era architecture, grand mosques, and role as a major political and cultural center in early modern Persia.
-
C.
Rayy
Rayy was an important medieval city near present-day Tehran that served as a major political, commercial, and intellectual hub during the Islamic Golden Age.
-
D.
Tehran
Tehran is the capital and largest city of Iran, serving as the country's political, economic, and cultural center.
-
E.
Hamadan
Hamadan is an ancient city in western Iran, historically significant as a major center of Persian Jewish life and one of the oldest continuously inhabited cities in 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_69d86da34c888190976e06c4019d415a |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e11e62aba8819090978801f4df73fe |
completed | April 16, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:49 a.m.