Triple
T31746144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umballa |
E810274
|
entity |
| Predicate | historicalSpellingVariant |
P457
|
FINISHED |
| Object |
Umballah
Umballah is a historical city in the Indian state of Haryana, now commonly known as Ambala, noted for its strategic military cantonment and commercial significance.
|
E1975339
|
NE FINISHED |
How this triple was built (3 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: Umballah | Statement: [Umballa, historicalSpellingVariant, Umballah]
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: Umballah Triple: [Umballa, historicalSpellingVariant, Umballah]
Generated description
Umballah is a historical city in the Indian state of Haryana, now commonly known as Ambala, noted for its strategic military cantonment and commercial significance.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: historicalSpellingVariant Context triple: [Umballa, historicalSpellingVariant, Umballah]
-
A.
hasVariantSpelling
chosen
Indicates that one term is an alternative spelling form of another term.
-
B.
colonialEraSpellingOf
Indicates that one term is the spelling of another term as it was used during the colonial era.
-
C.
historicalForm
Indicates that one entity is an earlier or historically attested form or variant of another entity.
-
D.
originalSpelling
Indicates that one entity provides the initial or historically first-used spelling form of another entity’s name or term.
-
E.
scripturalSpelling
Indicates that one form of a word or name is the spelling used in a particular scriptural or sacred text.
- F. None of above.
Provenance (6 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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff6074bcd4819090b72cd6209ff206 |
completed | May 9, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b948524848190967dd21254f57026 |
completed | June 12, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_6a2b958e9ebc81909225029c40526808 |
completed | June 12, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a2b961e98e881908f8db0697db35065 |
completed | June 12, 2026, 5:16 a.m. |
| PD | Predicate disambiguation | batch_69ff600aba888190812a6e7eca0283b8 |
completed | May 9, 2026, 4:25 p.m. |
Created at: April 30, 2026, 11:26 p.m.